Juan Bernabe Moreno

Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation

SDForger is a flexible and efficient framework for generating high-quality multivariate time series using LLMs. Leveraging a compact data representation, SDForger provides synthetic time series generation from a few samples and low-computation fine-tuning of any autoregressive LLM. Specifically, the…